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Statements

Subject Item
n2:RIV%2F70883521%3A28140%2F10%3A63508859%21RIV11-GA0-28140___
rdf:type
n8:Vysledek skos:Concept
dcterms:description
This paper deals with the utilization of two evolutionary algorithms Self-Organizing Migrating Algorithm (SOMA) and Differential Evolution (DE) for the optimization of the control of chaos. This paper is aimed on an explanation on how to use evolutionary algorithms (EAs) and how to properly define the advanced targeting cost function (CF) securing fast, precise and mainly robust stabilization of selected chaotic system on a desired state for any initial conditions. The role of EA here is as a powerful tool for an optimal tuning of control technique input parameters. As a model of deterministic chaotic system, the one dimensional discrete Logistic equation was used. The four canonical strategies of SOMA and six canonical strategies of DE were utilized. For each EA strategy, repeated simulations were conducted to outline the effectiveness and robustness of used method and targeting CF securing robust solution. Satisfactory results obtained by both heuristic and the two proposed cost function are compare This paper deals with the utilization of two evolutionary algorithms Self-Organizing Migrating Algorithm (SOMA) and Differential Evolution (DE) for the optimization of the control of chaos. This paper is aimed on an explanation on how to use evolutionary algorithms (EAs) and how to properly define the advanced targeting cost function (CF) securing fast, precise and mainly robust stabilization of selected chaotic system on a desired state for any initial conditions. The role of EA here is as a powerful tool for an optimal tuning of control technique input parameters. As a model of deterministic chaotic system, the one dimensional discrete Logistic equation was used. The four canonical strategies of SOMA and six canonical strategies of DE were utilized. For each EA strategy, repeated simulations were conducted to outline the effectiveness and robustness of used method and targeting CF securing robust solution. Satisfactory results obtained by both heuristic and the two proposed cost function are compare
dcterms:title
Utilization of SOMA and Differential Evolution for Robust Stabilization of Chaotic Logistic Equation Utilization of SOMA and Differential Evolution for Robust Stabilization of Chaotic Logistic Equation
skos:prefLabel
Utilization of SOMA and Differential Evolution for Robust Stabilization of Chaotic Logistic Equation Utilization of SOMA and Differential Evolution for Robust Stabilization of Chaotic Logistic Equation
skos:notation
RIV/70883521:28140/10:63508859!RIV11-GA0-28140___
n3:aktivita
n12:P n12:Z
n3:aktivity
P(GA102/09/1680), Z(MSM7088352101)
n3:cisloPeriodika
4
n3:dodaniDat
n15:2011
n3:domaciTvurceVysledku
Davendra, Donald n18:9388486 n18:5781264 n18:3433390
n3:druhVysledku
n7:J
n3:duvernostUdaju
n16:S
n3:entitaPredkladatele
n11:predkladatel
n3:idSjednocenehoVysledku
294954
n3:idVysledku
RIV/70883521:28140/10:63508859
n3:jazykVysledku
n9:eng
n3:klicovaSlova
Chaos; Control; Optimization; Evolutionary algorithms; Differential evolution; SOMA
n3:klicoveSlovo
n4:Optimization n4:Chaos n4:Evolutionary%20algorithms n4:Control n4:SOMA n4:Differential%20evolution
n3:kodStatuVydavatele
GB - Spojené království Velké Británie a Severního Irska
n3:kontrolniKodProRIV
[0A386DC5185D]
n3:nazevZdroje
Computers & Mathematics with Applications
n3:obor
n13:IN
n3:pocetDomacichTvurcuVysledku
4
n3:pocetTvurcuVysledku
4
n3:projekt
n17:GA102%2F09%2F1680
n3:rokUplatneniVysledku
n15:2010
n3:svazekPeriodika
60
n3:tvurceVysledku
Davendra, Donald Šenkeřík, Roman Oplatková, Zuzana Zelinka, Ivan
n3:zamer
n10:MSM7088352101
s:issn
0898-1221
s:numberOfPages
12
n19:organizacniJednotka
28140